DataDTA: a multi-feature and dual-interaction aggregation framework for drug–target binding affinity prediction

MOTIVATION: Accurate prediction of drug–target binding affinity (DTA) is crucial for drug discovery. The increase in the publication of large-scale DTA datasets enables the development of various computational methods for DTA prediction. Numerous deep learning-based methods have been proposed to pre...

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Detalles Bibliográficos
Autores principales: Zhu, Yan, Zhao, Lingling, Wen, Naifeng, Wang, Junjie, Wang, Chunyu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2023
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10516524/
https://www.ncbi.nlm.nih.gov/pubmed/37688568
http://dx.doi.org/10.1093/bioinformatics/btad560

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10516524/
https://www.ncbi.nlm.nih.gov/pubmed/37688568
http://dx.doi.org/10.1093/bioinformatics/btad560

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